docstr: Return a dict of tuples containing lower and upper bounds of unscaled neural network inputs
docstr_tok: ["Return","a","dict","of","tuples","containing","lower","and","upper","bounds","of","unscaled","neural","network","inputs"]
code: def unscaled_input_bounds(self):
      """Return a dict of tuples containing lower and upper bounds of unscaled neural network inputs"""
      return self.__unscaled_input_bounds
  
file_path: OMLT/src/omlt/neuralnet/network_definition.py
imports: import networkx
  from omlt.neuralnet.layer import Layer
label_desc: Use image node_id 6 for calling the NetworkDefinition obj's underlying member method code with example usage: obj.unscaled_input_bounds() and returns: self